Create a plot using the plot() function from matplotlib.pyplot module. Add a label to the plot. Labels represent the name of the plot for the x and y axis respectively. Use the legend() function to add a legend. When we use this function, the two labels get encapsulated as a single...
1、导入模块:import matplotlib.pyplot as plt2、定义图像窗口:plt.figure()3、画图:plt.plot(x, y)4、定义坐标轴范围:x轴:plt.xlim()/y轴:plt.ylim() lim其实就是limit的缩写5、定义坐标轴名称:x轴:plt.xlabel()/plt.ylabel()6、定义坐标轴刻度及名称:plt.xticks()/plt.yticks()7、设置图像边框颜色...
plt.legend(loc='best',frameon=False)#去掉图例边框plt.legend(loc='best',edgecolor='blue')#设置图例边框颜色plt.legend(loc='best',facecolor='blue')#设置图例背景颜色,若无边框,参数无效 对于边框还可以采用面向对象方式: legend = plt.legend(["First","Second"]) frame=legend.get_frame() frame.set...
>>> plot(x, y) # plot x and y using default line style and color >>> plot(x, y, 'bo') # plot x and y using blue circle markers >>> plot(y) # plot y using x as index array 0..N-1 >>> plot(y, 'r+') # ditto, but with red plusses 1. 2. 3. 4. import numpy...
4.案例:显示多图例legend import matplotlib.pyplotas plt import numpy as np x = np.random.uniform(-1, 1, 4) y = np.random.uniform(-1, 1, 4) p1, = plt.plot([1,2,3]) p2, = plt.plot([3,2,1]) l1 = plt.legend([p2, p1], ["line 2", "line 1"], loc='upper left') ...
plt.plot(x,x*x) plt.show() 具体实现效果: 5. 添加图例-legend 当线条过多时,我们设置不同颜色来区分不同线条。因此,需要对不同颜色线条做下标注,我们实用 legend() 接口来实现。 importnumpyasnp importmatplotlib.pyplotasplt # 显示中文 plt.rcParams[...
plot(x,y3,color='green',label='y"(x)')ax.set_xlabel("x")ax.set_ylabel("y")ax.legend(...
x=np.linspace(0,2,100)fig,ax=plt.subplots()ax.plot(x,x,label='linear')ax.plot(x,x**2,label='quadratic')ax.plot(x,x**3,label='cubic')ax.set_xlabel('x label')ax.set_ylabel('y label')ax.set_title("Simple Plot")ax.legend() ...
as plt# 创建指数函数的数据x = np.linspace(-2, 2, 100) # 生成-2到2之间的100个点y = np.exp(x) # 计算指数函数值# 绘制指数函数的曲线图plt.plot(x, y, label='y = e^x', color='b')# 添加标题和标签plt.title('chat')plt.xlabel('x')plt.ylabel('y')# 显示图例plt.legend()...
This process creates a figure with two scatter plots and a legend placed at thecenter leftof the axes’ border-box. Add a Legend to the 3D Scatter Plot in Matplotlib Output: To create a legend for3Dscatter plot, we use theplot()method instead of thescatter()method; it’s because thele...